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ідея - Privacy-Preserving Algorithms
Time-Aware Projections: Node-Private Graph Statistics
The author introduces time-aware projection algorithms for node-private graph statistics, ensuring stability and privacy in continual release settings.
Local Differentially Private Core Decomposition and Densest Subgraph Bounds
개인 정보 보호를 위한 로컬 미분적 코어 분해 및 밀집 부분 그래프에 대한 엄격한 한계
Tighter Bounds for Local Differentially Private Core Decomposition and Densest Subgraph Analysis
Verbesserung der Genauigkeit und Effizienz von Differential Privacy Core Decomposition und Densest Subgraph.
Privacy-Preserving Dual Gradient Tracking for Distributed Resource Allocation
Developing a differentially private dual gradient tracking algorithm for secure distributed resource allocation.